Background: Recent studies have suggested that certain modifiable lifestyle factors, such as obesity, may influence epithelial ovarian cancer (EOC) survival. A recent report from the Ovarian Cancer Association Consortium that pooled data from 21 case-control studies and included 12,390 invasive EOC cases observed that women who were obese (BMI>=35 kg/m2, pHR: 1.12 (95% CI: 1.01-1.25)) versus women in the normal weight range had a significant survival disadvantage (Nagle et al., 2015, Br J Cancer). With the exception of two studies in this report, this finding was based on retrospective self-reported weight that may lead to possible recall error that could attenuate the observed associations. Key questions remain about whether obesity-related factors influence survival among ovarian cancer patients. Furthermore, studies that are based on measured anthropometric data are needed to provide more reliable estimates.
Objectives: The current study investigated whether pre-diagnosis obesity-related factors (including anthropometric data that were measured by trained study personnel) influence ovarian cancer survival in a large European study of women with invasive EOC.
Methods: Information on anthropometric characteristics was collected at the study baseline. Cox proportional hazards regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) and multivariable models were adjusted for age and year of diagnosis, tumor stage, smoking status and stratified by study center.
Results: Based on our previous analysis of reproductive factors and EOC survival, after a mean follow-up of 3.6 years (± 3.2 SD) following EOC diagnosis, 511 (49.9%) of the 1025 women died from EOC. Analyses are ongoing and results for the analyses of EOC as well as by histologic subtype will be presented.
Conclusion: EOC is the eighth most common cause of cancer mortality in women worldwide, and the most lethal gynecologic malignancy, thus studies focusing on modifiable obesity-related factors that may be associated with EOC prognosis are needed in order to contribute towards possible improvements in the prognostic outlook for these women.